World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
31880
World Ranking
7343
National Ranking
122

Jacob Ziv publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jacob Ziv sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jacob Ziv D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jacob Ziv sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2021 - IEEE Medal of Honor For fundamental contributions to information theory and data compression technology, and for distinguished research leadership.”
  • 2008 - BBVA Foundation Frontiers of Knowledge Award
  • 2004 - Member of the National Academy of Sciences
  • 1998 - Fellow of the American Academy of Arts and Sciences
  • 1997 - ACM Paris Kanellakis Theory and Practice Award Data Compression
  • 1997 - IEEE Claude E. Shannon Award
  • 1995 - IEEE Richard W. Hamming Medal "For contributions to information theory, and the theory and practice of data compression."
  • 1988 - Member of the National Academy of Engineering For major contributions to information theory, and for outstanding leadership in engineering education.

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Algorithm
  • Random variable

His primary areas of study are Discrete mathematics, Encoder, Combinatorics, Sequence and Information theory. The concepts of his Discrete mathematics study are interwoven with issues in Communication theory and Context-adaptive binary arithmetic coding. He interconnects Algorithm and Coding in the investigation of issues within Encoder.

His Combinatorics research is multidisciplinary, incorporating perspectives in Rate distortion, Function, Random variable and Distortion. His Sequence study integrates concerns from other disciplines, such as Asymptotically optimal algorithm, Randomness and Substring. As part of one scientific family, Jacob Ziv deals mainly with the area of Information theory, narrowing it down to issues related to the Entropy, and often Data compression.

His most cited work include:

  • A universal algorithm for sequential data compression (4763 citations)
  • Compression of individual sequences via variable-rate coding (3067 citations)
  • The rate-distortion function for source coding with side information at the decoder (2904 citations)

What are the main themes of his work throughout his whole career to date?

Algorithm, Data compression, Discrete mathematics, Combinatorics and Encoder are his primary areas of study. His studies in Algorithm integrate themes in fields like Classifier, Theoretical computer science and Communication channel. His work on Lossless compression as part of general Data compression study is frequently connected to Data compression ratio, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His Discrete mathematics research includes elements of Function, Sequence and Rate–distortion theory. His studies deal with areas such as Upper and lower bounds, Distortion and Random variable as well as Combinatorics. His work is dedicated to discovering how Encoder, Asymptotically optimal algorithm are connected with Ergodic theory and other disciplines.

He most often published in these fields:

  • Algorithm (35.48%)
  • Data compression (34.41%)
  • Discrete mathematics (27.96%)

What were the highlights of his more recent work (between 2001-2021)?

  • Algorithm (35.48%)
  • Sequence (19.35%)
  • Encoder (21.51%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Algorithm, Sequence, Encoder, Data compression and Decoding methods. The various areas that Jacob Ziv examines in his Algorithm study include Classifier, Entropy, Theoretical computer science and Mutual information. His study in Sequence is interdisciplinary in nature, drawing from both Discrete mathematics, Sublinear function, Measure and Markov process.

He focuses mostly in the field of Discrete mathematics, narrowing it down to topics relating to Rate–distortion theory and, in certain cases, Combinatorics. His study deals with a combination of Data compression and Pseudorandom binary sequence. His Turbo code study in the realm of Decoding methods connects with subjects such as Concatenation.

Between 2001 and 2021, his most popular works were:

  • Extremes of information combining (82 citations)
  • On the Wyner-Ziv problem for individual sequences (26 citations)
  • The Universal LZ77 Compression Algorithm Is Essentially Optimal for Individual Finite-Length $N$ -Blocks (15 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Algorithm
  • Topology

His scientific interests lie mostly in Algorithm, Data compression, Decoding methods, Encoder and Pseudorandom binary sequence. In his study, Pattern matching is inextricably linked to Entropy, which falls within the broad field of Algorithm. His studies link Discrete mathematics with Data compression.

His Decoding methods research incorporates themes from Iterative method, Mutual information and Combinatorics. His Combinatorics study combines topics from a wide range of disciplines, such as Sequence, Block code, Rate–distortion theory and Universal code. His Encoder research includes elements of Lossless compression, Statistical classification and Adaptive algorithm.

Best Publications

  • A universal algorithm for sequential data compression

    J. Ziv;A. Lempel

  • Compression of individual sequences via variable-rate coding

    J. Ziv;A. Lempel

  • The rate-distortion function for source coding with side information at the decoder

    A. Wyner;J. Ziv

  • On the Complexity of Finite Sequences

    A. Lempel;J. Ziv

  • Some lower bounds on signal parameter estimation

    J. Ziv;M. Zakai

  • A theorem on the entropy of certain binary sequences and applications--II

    A. Wyner;J. Ziv

  • Some asymptotic properties of the entropy of a stationary ergodic data source with applications to data compression

    A.D. Wyner;J. Ziv

  • Apparatus and method for compressing data signals and restoring the compressed data signals

    Willard L. Eastman;Abraham Lempel;Jacob Ziv;Martin Cohn

  • Transmission of noisy information to a noisy receiver with minimum distortion

    J. Wolf;J. Ziv

  • Compression of two-dimensional data

    A. Lempel;J. Ziv

  • Improved Lower Bounds on Signal Parameter Estimation

    D. Chazan;M. Zakai;J. Ziv

  • Source coding for multiple descriptions

    J. K. Wolf;A. D. Wyner;J. Ziv

  • Coding theorems for individual sequences

    J. Ziv

  • When is the generalized likelihood ratio test optimal

    O. Zeitouni;J. Ziv;N. Merhav

  • A measure of relative entropy between individual sequences with application to universal classification

    J. Ziv;N. Merhav

  • On classification with empirically observed statistics and universal data compression

    J. Ziv

  • Mutual information of the white Gaussian channel with and without feedback

    T. Kadota;M. Zakai;J. Ziv

  • Universal decoding for finite-state channels

    J. Ziv

  • On the estimation of the order of a Markov chain and universal data compression

    N. Merhav;M. Gutman;J. Ziv

  • Upper bounds on the probability of sequences emitted by finite-state sources and on the redundancy of the Lempel-Ziv algorithm

    E. Plotnik;M.J. Weinberger;J. Ziv

  • The sliding-window Lempel-Ziv algorithm is asymptotically optimal

    A.D. Wyner;J. Ziv

Frequent Co-Authors

Neri Merhav
Neri Merhav Technion – Israel Institute of Technology
A.D. Wyner
A.D. Wyner Nokia (United States)
A. Lempel
A. Lempel Technion – Israel Institute of Technology
Jack K. Wolf
Jack K. Wolf University of California, San Diego
Yossi Matias
Yossi Matias Google (United States)
Subbaratnam Muthukrishnan
Subbaratnam Muthukrishnan Kansas State University
Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Martin Farach
Martin Farach New York University
János Körner
János Körner Sapienza University of Rome
Ofer Zeitouni
Ofer Zeitouni Weizmann Institute of Science

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